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  • 31. VI_2015_009

    by rescaling a dimensionless regional flood frequency distribution or growth curve, qR(D;T ), com- mon to all sites of the homogeneous region, with the so-called index flood, µi(D), of the target site: bQi(D;T ) = µi(D)qR(D;T ); (1) where bQi(D;T ) is the estimated flood quantile, i.e. the T -year flood peak discharge averaged over duration D, at site i. The regional growth curve, qR(D;T /media/vedurstofan/utgafa/skyrslur/2015/VI_2015_009.pdf
  • 32. Hare-2011-ParticipatoryModelling

    support ) Improv e mode l (integration) ; socia llea rnin g Farmers ,loca l aut horities , association s NO P IN D Cognitiv e mappin g HE T GM B NO P HE T Simulation - by-han d OT :Researcher s KA F F Iska r (Phas e1 ) Co n ce pt u al m o de l (D is cu ss io n su pp o rt ; Com m unication ) Improv e mode l (integration) ; socia llea rnin g Nationa l poli cy-maker s NO P IN D Cognitiv e mappin g HE /media/loftslag/Hare-2011-ParticipatoryModelling.pdf
  • 33. Kok_JGEC658_2009

    to be simple and therefore has important drawbacks. Future improvements should be made in the light of applications within a larger toolbox of scenario methods.  2008 Elsevier Ltd. All rights reserved. * Tel.: +31 317 482422; fax: +31 317 419000. E-mail address: kasper.kok@wur.nl. Contents lists available at ScienceDirect Global Environmental Change journa l homepage: www.e lsev ier .com/ locate /media/loftslag/Kok_JGEC658_2009.pdf
  • 34. Lorenzoni_Pidgeon_2006

    level, surveys commissioned by the European Com- munity/the European Union provide an indication of trends in concern about cli- mate change. Since 1992, such surveys have been undertaken among representative samples of citizens in its Member States, and specifically on topics related to the environment (Special Eurobarometers (EB) in 1992, 1995, 2002; and a Flash EB in 2002). These have included /media/loftslag/Lorenzoni_Pidgeon_2006.pdf
  • 35. VI_2019_009

    To distinguish between rain and snow, the volume is com- pared to the water equivalent but the volume of snow is ten times larger. Figure 1. How PWD22 determines the type of precipitation. Using the information about the changes of the backscatter signal, water equivalent and temper- ature the Vaisala Present Weather Detector can give information about the type of precipitation. It is also used /media/vedurstofan-utgafa-2019/VI_2019_009.pdf
  • 36. VI_2013_008

    systematically underestimated. The bias is not as pronounced for the non glacial rivers. Com- bining synoptic-scale and basin-scale predictors (method 3) leads to a substantial improvement compared to the use of MSLP fields alone (method 1). Analogue forecasts become similar or better than persistence, depending on catchment and lead time. Usually, persistence performs better for T=1 day and then method 3 /media/vedurstofan/utgafa/skyrslur/2013/VI_2013_008.pdf
  • 37. VI_2014_006

    the com- plexity of the hydrological processes through modelling, but its application is usually limited to the short-range. Although the results demonstrated a great potential for this method, its success- ful application in real-time will strongly depend on the quality and availability of streamflow observations, which can be poor or simply missing during periods of variable durations, e.g /media/vedurstofan/utgafa/skyrslur/2014/VI_2014_006.pdf

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